共 50 条
- [1] Baseline whole-lung CT features deriving from deep learning and radiomics: prediction of benign and malignant pulmonary ground-glass nodules [J]. FRONTIERS IN ONCOLOGY, 2023, 13
- [2] A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images [J]. European Radiology, 2020, 30 : 1847 - 1855
- [4] Estimation of Ground-Glass Opacity Measurement in CT Lung Images [J]. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2008, PT II, PROCEEDINGS, 2008, 5242 : 238 - 245
- [6] Deep learning analysis to predict EGFR mutation status in lung adenocarcinoma manifesting as pure ground-glass opacity nodules on CT [J]. FRONTIERS IN ONCOLOGY, 2022, 12
- [8] Comparison and Fusion of Deep Learning and Radiomics Features of Ground-Glass Nodules to Predict the Invasiveness Risk of Stage-I Lung Adenocarcinomas in CT Scan [J]. FRONTIERS IN ONCOLOGY, 2020, 10
- [9] Ground-Glass Opacity Lung Nodules in the Era of Lung Cancer CT Screening: Radiology, Pathology, and Clinical Management [J]. ONCOLOGY-NEW YORK, 2016, 30 (03): : 266 - 274